Article
European Journal of Human Genetics (2006) 14, 529–534. doi:10.1038/sj.ejhg.5201604; published online 15 March 2006
Use of phenotypic covariates in association analysis by sequential addition of cases
Stuart Macgregor1, Nick Craddock2 and Peter A Holmans1
- 1Biostatistics and Bioinformatics Unit, Cardiff University, Cardiff, UK
- 2Department of Psychological Medicine, Cardiff University, Cardiff, UK
Correspondence: Dr S Macgregor, Current address: Queensland Institute of Medical Research, Brisbane, Australia. Tel: +61 7 3845 3563; Fax: +61 7 3362 0101; E-mail: stuart.macgregor@qimr.edu.au
Received 7 November 2005; Revised 24 January 2006; Accepted 8 February 2006; Published online 15 March 2006.
Abstract
Optimal use of phenotype information is important in complex disease gene mapping. We describe a method, sequential addition, for the analysis of case–control data by taking into account of a quantitative trait that is measured in cases but not in controls. The method also provides an estimate of the best phenotype definition for future studies. We demonstrate proof of principle, using an example of incorporation of age-at-onset data into a study of a small sample for association between APOE and late-onset Alzheimer's disease. The sequential addition method finds evidence of association when conventional case–control methods fail. We also illustrate the use of the method for taking account of a dimensional measure of psychosis in a study of the schizophrenia susceptibility gene, dysbindin, in bipolar disorder.
Keywords:
phenotype definition, case only, quantitative trait, bipolar disorder, late-onset Alzheimer's disease, ordered subset analysis
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